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Releases: braindatalab/PyBispectra

PyBispectra v1.2.0

18 Sep 17:23
3d0eb23
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Enhancements
  • Added general Bispectrum and Threenorm classes for computing with flexible kmn channel combinations.
Bug Fixes
  • Fixed error where the number of subplots exceeding the number of nodes would cause plotting to fail.
  • Fixed error where bandpass filter settings for the SSD method in SpatioSpectralFilter were not being applied correctly.
API
  • Changed the default value of min_ratio in SpatioSpectralFilter.get_transformed_data() from 1.0 to -inf.
  • Added the option to control whether a copy is returned from the get_results() method of all Results... classes and from SpatioSpectralFilter.get_transformed_data() (default behaviour returns a copy, like in previous versions).
  • Added new fit_ssd(), fit_hpmax(), and transform() methods to the SpatioSpectralFilter class to bring it more in line with scikit-learn fit-transform classes.
Documentation
  • Added a new example for computing the bispectrum and threenorm using the general classes.

PyBispectra v1.1.0

18 Nov 16:23
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Enhancements
  • Reduced the memory requirement of bispectrum computations.
  • Added support for computing & storing time delays of multiple frequency bands simultaneously.
  • Added a new option for controlling the colour bar of waveshape plots.
  • Added an option for controlling the precision of computations.
Bug Fixes
  • Fixed incorrect channel indexing for time delay antisymmetrisation.
API
  • Changed how operations on specific frequency/time ranges are specified to be more flexible.
Documentation
  • Added a new example for computing time delays on specific frequency bands.

PyBispectra v1.0.0

23 Sep 15:52
fdc246a
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Initial release